AI is no longer confined to small circles of developers and enthusiasts. Data analysis and machine learning services, like Google Colab and Microsoft's Azure OpenAI Service's various models, make it easier than ever to include a larger circle of employees in AI development by enabling anyone to write and share code for projects. Enterprises must appropriately train business users on what AI is and how AI can apply to everyday tasks to utilize the technology effectively. Arpit Mehra, practice director at analyst firm Everest Group, recommends enterprises use decentralized governance models to enable data and technology learning strategies. Arun Chandrasekaran, distinguished vice president and analyst at Gartner, also recommended that companies prioritize investments in specialized and domain-specific intelligent applications that focus on training in areas like customer engagement, customer service and talent acquisition.

The verdict is in: ChatGPT isn't just hype, it's a useful tool that everyone can take advantage of in some way. Note what I didn't say: ChatGPT is not sentient. It is not an artificial general intelligence. ChatGPT is not a panacea that can solve every problem, and will not take everyone's jobs. Understanding that ChatGPT is a tool at our disposal, let's see how it can help us learn Python.

The rapid adoption and scrutiny around ChatGPT, the latest artificial intelligence model, highlights the exploding potential of AI. It also underscores a stark delta between AI's current capabilities and human willingness to embrace them. This untapped potential is perhaps most apparent in the public sector where AI is both championed and feared - offering exciting federal use cases but lacking policy guidance and maturity at scale. So how can agencies better leverage AI? Results of a recent SAIC survey uncover a need to improve overall AI readiness to enable the technology's integration and benefit from it. The independent survey of federal government executives revealed that while AI is on respondents' radar, fewer than one in five are "very" likely to adopt AI in the next year.

The biggest difference between Google Bard and ChatGPT is that, as of this writing, Bard knows about ChatGPT but ChatGPT is blissfully unaware of Bard. But I can play around with ChatGPT, while Google Bard is still out of reach for most of us. Both ChatGPT and Google Bard are AI chatbots. The simplest version of this technology already exists on your smartphone - you type "Good," and your phone predicts that the next word you might want to use is "morning." ChatGPT was originally developed by OpenAI and then invested in by Microsoft for an eye-watering $10 billion (in addition to an earlier $1 billion investment).

On 8 March, the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) All Questions Answered (AQuA) series continued, with a one hour session focussing on ChatGPT and large language models. The session was conducted in conjunction with ICT-48 Networks of Excellence TAILOR, AI4Media and ICT-48 Coordination and Support Action VISION. The panel first gave an overview of large language models (LLMs) and how they work. They then went on to consider topics including: regulation, safeguards, whether European companies are investing enough in large language models, the limitations of LLMs, and how concerned we should be about the misinformation they generate. CLAIRE All Questions Answered Events (AQuAs) are relaxed, one hour, online events that bring together a small group of panellists to discuss current hot topics in AI and beyond and answer questions from the community.

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The general public discovered the existence of OpenAI's GPT-3.5 language model with the publication of ChatGPTChatGPT late last November. The next version, GPT-4, was expected for this year, but the launch is now said to be imminent. At a German conference AI in focus around Artificial Intelligence, Andreas Braun, CTO of MicrosoftMicrosoft Germany, said GPT-4 is expected to be announced in the coming days. The announcement should logically fall during Microsoft's conference on the future of work with AI (Future of Work with AI) scheduled for Thursday, March 16 at 5 p.m. French time. He did not specify whether Microsoft or OpenAI will make the announcement.

As language models become increasingly common, it becomes crucial to employ a broad set of strategies and tools in order to fully unlock their potential. Foremost among these strategies is prompt engineering, which involves the careful selection and arrangement of words within a prompt or query in order to guide the model towards producing the desired response. If you've tried to coax a desired output from ChatGPT or Stable Diffusion then you're one step closer to becoming a proficient prompt engineer. At the other end of the tuning spectrum lies Reinforcement Learning from Human Feedback (RLHF), an approach that proves most effective when a model requires training across a range of inputs and demands the utmost accuracy. RLHF is widely used in the fine-tuning of general-purpose models that power ChatGPT, Google's Bard, Anthropic's Claude, or DeepMind's Sparrow.

When ChatGPT came out at the end of 2022, It caused a huge surprise for millions of people around the world due to its capabilities. I experienced the rise of it firsthand: I have personally seen the reactions of people using it and have had numerous interactions with GPT. For some people, It may even sound surreal to build a game with ChatGPT without writing code, but it is possible now. In case you have never heard it before, ChatGPT is a super powerful AI tool created by OpenAI, a company founded in San Francisco in late 2015 by Sam Altman, Elon Musk, and others. You can take a look here to learn its capabilities briefly.

Following Microsoft, DuckDuckGo is now tapping OpenAI's ChatGPT technology to streamline its search engine. DuckAssist is a free feature that can pop up when you make a query on the DuckDuckGo search engine. By tapping AI algorithms, DuckAssist can offer a concise answer to your query at the top of the search page, removing the need to scroll through search results and visit a third-party website to find the answer. The approach could kill off traditional search results, like Microsoft is starting to do with the ChatGPT-powered Bing. But for now, DuckAssist's scope has been confined to only citing content from encyclopedia sites Wikipedia and Brittanica.